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Wie die Materialengpässe den Arbeitsmarkt treffen
[How Material Shortages are Affecting the Labour Market]

Author

Listed:
  • Markus Hummel

    (Inst. f. Arbeitsmarkt- und Berufsforschung)

  • Christian Hutter

    (Inst. f. Arbeitsmarkt- und Berufsforschung)

  • Enzo Weber

    (Inst. f. Arbeitsmarkt- und Berufsforschung)

Abstract

Although industrial production in Germany picked up again significantly with the recovery from the Corona crisis, supply bottlenecks for raw materials and intermediate products such as semiconductors became increasingly noticeable over 2021. In this article, we examine how these obstacles affect the labor market development. To determine the extent and effects of the material bottlenecks, we use data from the ifo business surveys and from the statistics of the German Federal Employment Agency on manufacturing and construction. The results show that the impact of material shortages on unemployment is noticeable but still relatively limited. In contrast, there is a considerable effect on short-time work announcements. Apparently, short-time work is mainly used to adjust to the material shortages.

Suggested Citation

  • Markus Hummel & Christian Hutter & Enzo Weber, 2022. "Wie die Materialengpässe den Arbeitsmarkt treffen [How Material Shortages are Affecting the Labour Market]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(4), pages 316-318, April.
    • Handle: RePEc:spr:wirtsc:v:102:y:2022:i:4:d:10.1007_s10273-022-3161-0
    DOI: 10.1007/s10273-022-3161-0
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    References listed on IDEAS

    as
    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Klinger, Sabine & Weber, Enzo, 2020. "GDP-employment decoupling in Germany," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 82-98.
    3. Klaus Wohlrabe, 2021. "Materialengpässe in der Industrie: Wer ist betroffen, und wie reagieren die Unternehmen?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 74(09), pages 60-65, September.
    4. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
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    Cited by:

    1. Alexander Kubis, 2022. "Parität zwischen Vakanzen und Arbeitslosen am deutschen Arbeitsmarkt fast erreicht [Parity in the German Labour Market Nearly Achieved]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(9), pages 680-682, September.
    2. Christian Kagerl & Michael Moritz & Duncan Roth & Jens Stegmaier & Ignat Stepanok & Enzo Weber, 2022. "Energiekrise und Lieferstopp für Gas: Auswirkungen auf die Betriebe in Deutschland [The Energy Crisis and Gas Supply Stop: Consequences for Businesses in Germany]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(6), pages 486-491, June.

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    More about this item

    Keywords

    J08; L70;

    JEL classification:

    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General

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